Patient Controlled Integrated and Comprehensive Health Record Management System

3. The system of claim 1, wherein the plurality of unsupervised classification models are configured as a plurality of neural network layers.

5. The system of claim 1, wherein the health records comprise at least one of medical test results or clinical findings.

6. The system of claim 1, wherein the health records comprise at least one of electronic health records (EHR) or records manually transcribed into the system.

7. The system of claim 1, wherein the health records comprise a first health record provided by a first healthcare provider and a second health record provided by a second healthcare provider.

8. The system of claim 1, wherein the processing engine comprises an application programming interface (API) configured to receive requests from the patient and send responses to the patient and predetermined healthcare providers.

9. The system of claim 1, wherein the patient generated information comprises at least one of physical symptoms, mental symptoms, or observations.

10. The system of claim 1, wherein the extracted predetermined data further comprises at least one of: environmental stimulus, and behavioral information.

13. The system of claim 11, wherein the machine learning engine comprises a plurality of unsupervised classification models.

14. The system of claim 11, wherein the health records comprise a first health record provided by a first healthcare provider and a second health record provided by a second healthcare provider.

17. The method of claim 15, wherein the machine learning engine comprises a plurality of unsupervised classification models.

19. The method of claim 15, wherein the health records comprise a first health record provided by a first healthcare provider and a second health record provided by a second healthcare provider.

21. The system of claim 1, wherein the at least one predicted health condition comprises a diagnosis.

22. The system of claim 11, wherein the machine learning engine comprises a neural network model, and training the machine learning engine comprises training the neural network model.

23. The method of claim 15, wherein the health records comprise electronic health records (EHR).

24. The method of claim 15, wherein the patient generated information comprises self-identified symptoms.

25. The method of claim 15, wherein the patient generated information comprises input transmitted via a wearable device.